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- W31893325 abstract "This survey covers the potential use of neurophysiological changes as a biomarker in four neuropsychiatric diseases (attention deficit hyperactivity disorder (ADHD), Alzheimer's disease (AD), bipolar disorder (BD), and schizophrenia (SZ)). Great developments have been made in the search of biomarkers in these disorders, especially in AD. Nevertheless, there is a tremendous need to develop an efficient, low-cost, potentially portable, non-invasive biomarker in the diagnosis, course, or treatment of the above-mentioned disorders. Electrophysiological methods would provide a tool that would reflect functional brain dynamic changes within milliseconds and also may be used as an ensemble of biomarkers that is greatly needed in the evaluation of cognitive changes seen in these disorders. The strategies for measuring cognitive changes include spontaneous electroencephalography (EEG), sensory evoked oscillation (SEO), and event-related oscillations (ERO). Further selective connectivity deficit in sensory or cognitive networks is reflected by coherence measurements. Possible candidate biomarkers discussed in an interactive panel can be summarized as follows: for ADHD: (a) elevation of delta and theta, (b) diminished alpha and beta responses in spontaneous EEG; for SZ: (a) decrease of ERO gamma responses, (b) decreased ERO in all other frequency ranges, (c) invariant ERO gamma response in relation to working memory demand; for euthymic BD: (a) decreased event-related gamma coherence, (b) decreased alpha in ERO and in spontaneous EEG; for manic BD: (a) lower alpha and higher beta in ERO, (b) decreased event-related gamma coherence, (c) lower alpha and beta in ERO after valproate; and for AD: (a) decreased alpha and beta, and increased theta and delta in spontaneous EEG, (b) hyperexcitability of motor cortices as shown by transcortical magnetic stimulation, (c) hyperexcitability of visual sensory cortex as indicated by increased SEO theta responses, (d) lower delta ERO, (e) lower delta, theta, and alpha event-related coherence, (f) higher theta synchrony and higher alpha event-related coherence in cholinergically treated AD subjects. In further research in the search for biomarkers, multimodal methods should be introduced to electrophysiology for validation purposes. Also, providing the protocols for standardization and harmonization of user-friendly acquisition or analysis methods that would be applied in larger cohort populations should be used to incorporate these electrophysiologic methods into the clinical criteria. In an extension to conventional anatomical, biochemical and brain imaging biomarkers, the use of neurophysiologic markers may lead to new applications for functional interpretrations and also the possibility to monitor treatments tailored for individuals." @default.
- W31893325 created "2016-06-24" @default.
- W31893325 creator A5059467115 @default.
- W31893325 creator A5076874871 @default.
- W31893325 date "2013-01-01" @default.
- W31893325 modified "2023-10-13" @default.
- W31893325 title "Brain oscillations as biomarkers in neuropsychiatric disorders" @default.
- W31893325 cites W1542946990 @default.
- W31893325 cites W1578451937 @default.
- W31893325 cites W1964693349 @default.
- W31893325 cites W1966140426 @default.
- W31893325 cites W1968700646 @default.
- W31893325 cites W1970255245 @default.
- W31893325 cites W1971023756 @default.
- W31893325 cites W1979686107 @default.
- W31893325 cites W1982942483 @default.
- W31893325 cites W1984753123 @default.
- W31893325 cites W1985934303 @default.
- W31893325 cites W1989140936 @default.
- W31893325 cites W1994839334 @default.
- W31893325 cites W1998059774 @default.
- W31893325 cites W2009815181 @default.
- W31893325 cites W2009946947 @default.
- W31893325 cites W2014601836 @default.
- W31893325 cites W2016606444 @default.
- W31893325 cites W2019532214 @default.
- W31893325 cites W2020034348 @default.
- W31893325 cites W2024653157 @default.
- W31893325 cites W2026834521 @default.
- W31893325 cites W2028697641 @default.
- W31893325 cites W2036583721 @default.
- W31893325 cites W2036645215 @default.
- W31893325 cites W2037739318 @default.
- W31893325 cites W2043823222 @default.
- W31893325 cites W2045683730 @default.
- W31893325 cites W2048440475 @default.
- W31893325 cites W2049445666 @default.
- W31893325 cites W2053213880 @default.
- W31893325 cites W2053914079 @default.
- W31893325 cites W2055133770 @default.
- W31893325 cites W2056179112 @default.
- W31893325 cites W2073795431 @default.
- W31893325 cites W2076105585 @default.
- W31893325 cites W2076361433 @default.
- W31893325 cites W2078563723 @default.
- W31893325 cites W2081458783 @default.
- W31893325 cites W2085319761 @default.
- W31893325 cites W2085350184 @default.
- W31893325 cites W2087622664 @default.
- W31893325 cites W2094053538 @default.
- W31893325 cites W2096450505 @default.
- W31893325 cites W2100419378 @default.
- W31893325 cites W2101868705 @default.
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- W31893325 cites W2118434178 @default.
- W31893325 cites W2118788916 @default.
- W31893325 cites W2138741390 @default.
- W31893325 cites W2145653173 @default.
- W31893325 cites W2146674082 @default.
- W31893325 cites W2147099769 @default.
- W31893325 cites W2150300328 @default.
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- W31893325 cites W2163633970 @default.
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- W31893325 cites W4255830721 @default.
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- W31893325 doi "https://doi.org/10.1016/b978-0-7020-5307-8.00016-8" @default.
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